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README: make the Google deploy's reduced scope explicit (preview skips skills/MCP/tools)
The deploy claim was outrunning what the deploy delivers. Now states plainly, at the provider table + a callout + the roadmap, that deploy --target google ships prompts + coordinator/sub_agents + model ONLY and skips skills, MCP, and built-in tools (each logged 'not mapped to Agent Engine yet'). Names the deliberate gap between what audit reports (per-platform capability, incl. MCP native on Google) and what deploy currently wires up. Anthropic remains the only full-feature target; OpenAI is export/self-host (no hosted engine). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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README.md

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@@ -201,9 +201,11 @@ A subagent roster is a **universal** capability, not a per-provider lottery: `na
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| Runtime | How agentlift targets it | Notes |
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| **Anthropic Managed Agents** | `deploy` (live) + `export anthropic-yaml` | reference target; the folder maps 1:1. `export` emits the YAML the official `ant` CLI consumes — `ant` is one of agentlift's *outputs*, not a competitor. |
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| **Google Vertex AI Agent Engine** | `deploy --target google` (live, preview) + `export google-adk` | I deployed the team folder to a live `reasoningEngine` (server-side delegation confirmed — see [tested-platforms](docs/tested-platforms.md)). `:ask` + the bash/web sandbox degrade; Claude models map to Gemini. |
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| **Google Vertex AI Agent Engine** | `deploy --target google` (live, preview) + `export google-adk` | Live `reasoningEngine` with confirmed server-side coordinator→subagent delegation. **The preview deploy ships system prompts + the coordinator/`sub_agents` structure + model only — skills, MCP servers, and built-in tools are skipped** (the deploy logs each as `not mapped to Agent Engine yet`); Claude models map to Gemini. So `audit` rates Google MCP `native` (the platform supports it), but `deploy` does not wire it up yet. See [tested-platforms](docs/tested-platforms.md). |
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| **OpenAI** | `export openai-agents` (preview, self-host) | subagents emulated via agent-as-tool (the delegation loop runs in your app); no code-define + OpenAI-host path, so `export`, never `deploy`. |
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> **What "live, preview" means for Google — read this before assuming parity.** The deploy proves the *orchestration shape* is portable: a coordinator and its subagents become one hosted `reasoningEngine` that delegates server-side. It does **not** yet carry the agent's capabilities — **skills, MCP servers, and built-in tools are skipped** (each printed as `not mapped to Agent Engine yet`). So today **Anthropic is the only target with full feature mapping**; Google deploys a prompt-and-structure skeleton on a real hosted runtime, and OpenAI is export/self-host (no hosted engine at all). This is the deliberate gap between what `audit` reports (each *platform's* capability) and what `deploy` currently delivers (agentlift's preview implementation). Closing it is on the roadmap.
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## Isolation: each agent gets only its folder
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A deployed agent's context is exactly its own system prompt + its own (and `shared/`) skills + its own (and `shared/`) MCP servers + its inlined knowledge. The repo-root `CLAUDE.md`, a sibling agent's skills, and your machine's MCP servers **cannot leak in.**
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## Roadmap
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- **Google deploy parity** — the live `deploy --target google` is preview (Claude→Gemini model mapping; MCP, skills, and `:ask` not mapped yet). Bring it to full parity (MCP/skills, Claude-on-Vertex models, per-agent IDs via A2A).
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- **Google deploy parity** — the live `deploy --target google` is preview: it ships prompts + coordinator/`sub_agents` + model and **skips skills, MCP servers, built-in tools, and `:ask`** (Claude→Gemini model mapping). Bring it to full parity (skills/MCP/tools, Claude-on-Vertex models, per-agent IDs via A2A).
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- **`export openai-chatkit`** — wrap the `openai-agents` script in a self-hostable ChatKit server (the Agents SDK export already ships)
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- Authenticated remote MCP via the Vaults API
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- `agentlift diff --remote` deeper drift detection (full account reconciliation)

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